Compare ApPost vs. Unsiloed

ApPost is a software solution designed for the extraction and automatic interpretation of information from digital documents, with a primary focus on handwritten content. This application can effectively handle both structured and unstructured documents by accurately reading numeric and alphabetic fields, as well as handwritten words that were not included during the initial learning phase; it can also adaptively modify and swiftly refresh its lexicon as needed. Meanwhile, N.I.Te specializes in cutting-edge software technologies tailored for the automatic processing of documents, particularly handwritten ones, whether sourced from static images or real-time handwriting coordinates captured by various devices. The innovative technology from NITe is capable of deciphering handwritten words even without a predefined lexicon, thus surpassing the limitations faced by other market solutions. Additionally, a noteworthy benefit of this technology is its proficiency in learning from a minimal set of training samples, allowing for efficient adaptation and performance improvement. This versatility positions both ApPost and NITe as leaders in the evolving landscape of document processing software.

Unsiloed AI is an enterprise document intelligence platform built to transform unstructured documents into structured, LLM-ready data. The platform processes PDFs, images, spreadsheets, scans, and multimodal files, then outputs clean JSON, Markdown, or structured fields for AI agents, LLM applications, vector databases, and data warehouses. Its core capabilities include parsing, extraction, and document splitting, allowing teams to use each function independently or chain them into a full production pipeline. Unsiloed’s parser converts complex documents into Markdown while preserving structure across text, tables, charts, figures, forms, handwriting, signatures, and visual hierarchy. Its extraction engine pulls schema-specific fields into JSON and uses domain awareness to understand documents such as invoices, contracts, financial reports, healthcare records, and regulatory filings. Its splitting tools can separate mixed files into individual documents or break long documents into retrievable chunks while preserving parent-child relationships and surrounding context. The platform is powered by proprietary dual-stream vision models that combine a data stream for tokens and entities with a layout stream for bounding boxes, alignment, indentation, and visual structure. Unsiloed is designed to solve the problem of fragile OCR and DIY pipelines that break when document layouts change. For enterprise AI teams, Unsiloed provides a more reliable document layer for turning high-value unstructured data into assets that can be searched, reasoned over, and used in production AI systems.